Recent years have witnessed a drastic surge in natural language processing (NLP), which is a popular research orientation in artificial intelligence. In contrast to precise numbers, human language is very complex and diverse, with millions of ...

• Provide a comprehension review of the fusion of fuzzy theory and natural language processing.
• Analyze the application methods of fuzzy theory used in natural language processing.
• Examine some limitations of the current fusion.
• ...

Trajectory prediction stands as a fundamental technology in the development of seamless vehicle-infrastructure collaboration systems, tasked with anticipating the immediate and extended path trajectories of all vehicles on the road to enable safer ...

Automatic detection and recognition of traffic signs with utmost precision remains a central and unresolved hurdle in advancing high-tier assistance systems for vehicles. Current methods struggle with accurately discerning de-faced and obstructed ...

Currently, non-decision-level image fusion algorithms require extremely high registration precision of the images to be fused. In the face of different perspective image fusion scenarios, traditional feature registration algorithms and learning-...

While the under-display camera (UDC) system provides an effective solution for notch-free full-screen displays, it inevitably causes severe image quality degradation due to the diffraction phenomenon. Recent methods have achieved decent ...

• Proposed a novel De2Net framework for UDC image restoration.
• De2Net works no matter whether the PSFs are known or not.
• Proposed a decomposed KPN to enlarge the receptive field while reducing memory usage.
• De2Net performs ...

The iOS App Store is widely recognized as a trustworthy source for applications, primarily because of the strict regulations enforced by Apple. However, despite these measures, the presence of scamwares and the prevalence of crowdturfing (fake) reviews ...

Falls are the leading cause of unintentional human injury, having become a public health event of strong social concern. The fall prediction technology based on wearable inertial sensors is a relatively reliable solution in human activity ...

Emerging Zoned Namespace (ZNS) SSDs, providing the coarse-grained zone abstraction, hold the potential to significantly enhance the cost efficiency of future storage infrastructure and mitigate performance unpredictability. However, existing ZNS SSDs have ...

Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services. And cloud monitoring plays an integral role in protecting infrastructures in the cloud environment. Cloud monitoring ...

This paper is concerned with the issue of smooth control for semi-Markov jump linear systems. The performance metric on the control smoothness for general non-deterministic switched systems is renewed for the studied stochastic switched system by ...

Virtual try-on is an image generation task for changing characters' clothes while preserving the characters' and the cloth's original attributes. Existing methods usually apply the traditional appearance flow method, which is susceptible to complex body ...

Under the background of urban green and low-carbon economic development, battery electric buses (BEBs) together with fast charging technologies are considered as an effective way in promoting carbon emissions reduction and improving energy ...

• We add ESSs to BEB peak charging to cut costs and grid stress.
• BEB and ESS battery degradation costs from charge rates affect scheduling.
• Model combines K-means (K-SAA) and K-means++ (K-SAA++) for scenarios.
• We develop K-SAA ...

Single image dehazing is a challenging computer vision task for other high-level applications, e . g . , object detection, navigation, and positioning systems. Recently, most existing dehazing methods have followed a “black box” recovery paradigm ...

High-accuracy GNSS positioning in urban environments is important for applications like safe autonomous driving, however, dynamic errors in complex urban environments limit positioning performances. Recently, deep learning-based (DL) approaches ...

The differential privacy k-means (DP k-means) clustering algorithm emerged to address the privacy protection challenges in the field of data mining. However, the algorithm encounters difficulties in achieving clustering usability and convergence. ...

With the rapid growth of Internet of Vehicles (IoV) technology, the performance and privacy of IoV terminals (IoVT) have become increasingly important. This paper proposes a federated learning model for IoVT classification using connection records ...

Space debris poses a potentially catastrophic risk to large-scale LEO constellations due to its substantial cascading effects, thereby rendering efficient and timely debris removal a critical research area in contemporary aerospace engineering. ...

Considerable research efforts have been devoted to the development of motion planning algorithms, which form a cornerstone of the autonomous driving system (ADS). Nonetheless, acquiring an interactive and secure trajectory for the ADS remains challenging ...

The task of Knowledge Graph Completion (KGC) is to infer missing links for Knowledge Graphs (KGs) by analyzing graph structures. However, with increasing sparsity in KGs, this task becomes increasingly challenging. In this paper, we propose VEM${}^2$L, ...